Qwen Drive 1.0 4B
Parameters
4B
Context Length
33K
Modality
Text
Architecture
Dense
License
Apache 2.0
Release Date
27 Aug 2026
Knowledge Cutoff
-
API Pricing (per 1M)
Self-hosted only
System Requirements
VRAM requirements for different quantization methods and context sizes
1,024 tokens
Consumer
1x RTX 4090
24GB VRAM
Datacenter
1x NVIDIA A100
80GB VRAM
Apple Silicon
1x Apple M3 Max
128GB VRAM
32,768 tokens
Consumer
1x RTX 4090
24GB VRAM
Datacenter
1x NVIDIA A100
80GB VRAM
Apple Silicon
1x Apple M3 Max
128GB VRAM
Architecture Diagram
Evaluation Benchmarks
No evaluation benchmarks for Qwen Drive 1.0 4B available.
Rankings
Overall Rank
-
Coding Rank
-
About Qwen Drive 1.0 4B
Qwen Drive 1.0 4B is a specialized autonomous driving planning and reasoning model developed by Alibaba. It leverages multimodal representations to analyze complex driving scenes, predict trajectories, and execute decision planning.
Technical Specifications
Attention
Attention Structure
Grouped-Query Attention
Attention Heads
16
Key-Value Heads
4
Attention Head Dimension
256
Position Embedding
ROPE
RoPE Theta
10,000,000
Sliding Window Attention
No
Sliding Window Size
-
Sliding Window Ratio
-
Linear Attention
Yes
Linear Attention Ratio
75.0%
Normalization
RMS Normalization
Activation Function
SwigLU
Dimensions
Hidden Dimension Size
2,560
Number of Layers
32
FFN Intermediate Size (Dense)
9,216
Multi-Token Prediction Heads
1
Tokenizer
Vocabulary Size
248,320
Resources
About Qwen Drive
The Qwen Drive model family developed by Qwen.
Other Qwen Drive Models
- No related models available